Author

Haiwen Yi

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Preprint Aug 2026

From Profiling to Synthesis: Benchmarking Implicit Behavioral Alignment in Personalized LLM Agents

IBA-Bench is introduced, a benchmark for implicit behavioral alignment constructed from longitudinal interaction histories that contain noise, implicit cues, and temporal inconsistencies, and the proposed IBA-Agent is proposed, an agent framework that reconciles conflicting priorities through broad retrieval and trajec...

Jiajia Song, Bobo Li, Haiwen Yi et al. · 1 citation

#machine learning Preprint Jul 2026

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning

Large language model (LLM) agents are usually improved by changing prompts, models, or hand-written workflows, while the execution harness around the model is treated as fixed infrastructure. We argue that this harness is itself a learnable control layer. We formalize harness operation as a finite-horizon Harness MDP,...

Haiwen Yi, Xinyuan Song · 1 citation

Preprint Jul 2026

Measuring Harness-Induced Belief Divergence in Multi-Step LLM Agents

A belief-rollout diagnostic is introduced that elicits structured K-step trajectories over progress, risk, recoverability, constraints, failure mode, uncertainty, future success, repair cost, and next action under alternative harnesses and suggests that harness design is an experimental variable in agent evaluation, no...

Haiwen Yi, Xinyuan Song · 0 citations